AirIQ now ships 100+ pieces of content automatically from a single campaign form.
- The marketing team was manually drafting, reviewing, and publishing every post with no system for volume or scheduling.
- Aurora built a campaign-driven pipeline: fill in a form, content generates on schedule, lands in the existing Kanban board, and publishes automatically once approved.
- A website chatbot logs every visitor question the content cannot answer, feeding real search intent back into the pipeline.
- Result: 100+ pieces shipped across four formats with zero manual publishing steps.
AirIQ's marketing team was spending most of their time on the mechanics of publishing instead of the strategy behind it. Every post was drafted manually, reviewed by hand, and someone had to remember to post it on the right day. Holiday and event content was planned ad-hoc, SEO wasn't being systematically addressed, and there was no mechanism for learning what prospects actually wanted to read.
Background
AirIQ is a Canadian IoT company offering GPS telematics, ELDs, AI-enabled dash cameras, asset trackers, and a cloud platform that ties it all together. Their marketing team was small and capable but operating inside a manual process that didn’t scale with the volume of content a modern B2B company needs to stay visible. The trigger was simple: they wanted to show up more consistently, rank for more terms, and stop the “did anyone post today?” scramble.
The gap wasn’t effort. It was infrastructure. Without a system, even a good team hits a ceiling on volume. And without a feedback loop, there was no reliable way to know whether the content they were producing matched what their market was actually searching for.
Before and after
- Every post drafted, reviewed, and manually published by hand
- Content falling behind schedule regularly
- Holiday and event content planned ad-hoc, often missed
- No SEO strategy, no glossary content, no AI discoverability
- No mechanism for learning what prospects were actually asking
- Campaigns created via a single form, scheduled weeks or months in advance
- Blog, LinkedIn text, image, and video content generated automatically to schedule
- Content lands in their existing board, ready to review and auto-publish with one move
- Dedicated glossary content live for AI search crawlability
- Website chatbot feeds real visitor questions into the content pipeline
What we built
The team fills out a campaign form with a goal, target audience, date range, cadence, and the content types they want. Blog posts, LinkedIn text, LinkedIn with images, LinkedIn with video, glossary entries. From there, content generates automatically on the dates they specified and drops straight into the “Generated” column of their existing project board. The team reviews, edits if needed, and moves the card to “Ready to Publish.” Once it’s there, it publishes itself across the right channels on the right day.
There’s a second form for ad-hoc content, so one-off holiday posts or reactive pieces follow the same path without breaking the system. No new tools for the team to learn. No parallel workflow to manage.
A website chatbot handles inbound product questions and quietly logs every gap it encounters: questions it couldn’t fully answer, pricing asks, product feature requests. Those gaps get compiled into a weekly report and pushed into the same content idea pool alongside competitor activity and campaign ideas the team submits themselves. So the content that gets generated is always pulling from what the market is actually asking for, not what someone assumed they wanted.
Glossary content was introduced deliberately. AI search engines crawl definitional content heavily. Every “fleet telematics,” “ELD,” “geofencing” page is a surface for AirIQ to appear in AI-generated answers, not just traditional search results.
The results
- 100+ pieces shipped across blog, LinkedIn, and glossary formats on a consistent schedule
- Zero manual publishing required for approved content
- Glossary content now indexable for AI search surfaces and featured snippets
- A self-improving feedback loop where visitor questions shape future content topics
- Marketing team capacity freed up to focus on strategy, campaigns, and higher-value work
The bigger change is how AirIQ’s marketing function now operates. It behaves less like a team racing to hit a cadence and more like a system that produces on its own. The team’s job is to steer it, not push it. Decisions about what to create are informed by real visitor behavior, not assumptions. And the content that ships is consistent, on-brand, and on time, every time.
"At AirIQ, we are constantly looking for ways to scale our operations without sacrificing the customer-centric focus that defines our brand. Partnering with Aurora Designs has been a game changer in that regard. The automation and workflow systems they implemented significantly streamlined our internal processes, allowing my team to focus more on high-value opportunities and less on manual tasks. The efficiency gains were immediate, and the structure they've built is robust and scalable."
FAQ
How long does a content automation system like this take to set up?
Most implementations take four to six weeks, including campaign form design, content pipeline setup, board integration, and auto-publishing configuration.
Does the marketing team still review content before it publishes?
Yes. Content lands in a review column. The team edits if needed, then moves the card to publish. Nothing ships without approval.
What content formats can this kind of system produce?
AirIQ's system produces blog posts, LinkedIn text, LinkedIn with images, LinkedIn with video, and glossary entries from a single campaign brief.
How does the chatbot feedback loop work?
The chatbot logs questions it cannot fully answer. Those gaps get compiled weekly and fed into the content idea pool alongside campaign topics.
Can a small marketing team run a system like this?
Yes. AirIQ's team works inside the same tools they already used. The automation reduces execution work, not the team's role in steering direction.